Riham Mansour

860 total citations
5 papers, 15 citations indexed

About

Riham Mansour is a scholar working on Information Systems, Artificial Intelligence and Communication. According to data from OpenAlex, Riham Mansour has authored 5 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 1 paper in Communication. Recurrent topics in Riham Mansour's work include Web Data Mining and Analysis (2 papers), Text and Document Classification Technologies (2 papers) and Topic Modeling (2 papers). Riham Mansour is often cited by papers focused on Web Data Mining and Analysis (2 papers), Text and Document Classification Technologies (2 papers) and Topic Modeling (2 papers). Riham Mansour collaborates with scholars based in Egypt, United Kingdom and United States. Riham Mansour's co-authors include Hicham G. Elmongui, Michael Gamon, Vanessa Murdock, Elsayed E. Hemayed and Saurabh Bagchi and has published in prestigious journals such as Arabian Journal for Science and Engineering, International Conference on Computational Linguistics and Recent Advances in Natural Language Processing.

In The Last Decade

Riham Mansour

5 papers receiving 15 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Riham Mansour Egypt	3	9	4	4	3	3	5	15
L. F. Chaparro Sierra Colombia	3	9 1.0×	4 1.0×		2 0.7×		8	18
Siu-Ming Yiu Hong Kong	2	15 1.7×			3 1.0×		2	16
Shubham Jain United Kingdom	2	5 0.6×	3 0.8×		1 0.3×	1 0.3×	8	12
François Garillot United States	2	8 0.9×			2 0.7×		2	8
Thibault Laugel France	3	8 0.9×			2 0.7×		4	10
Jonathan Crabbé United Kingdom	2	8 0.9×			2 0.7×	1 0.3×	3	8
Cem Anil United Kingdom	1	10 1.1×			2 0.7×		2	12
Liam Fowl United States	3	14 1.6×			3 1.0×		9	16
Gregor Koehler Germany	2	9 1.0×				2 0.7×	3	16
Artidoro Pagnoni United States	2	6 0.7×			2 0.7×		4	10

Countries citing papers authored by Riham Mansour

Since Specialization

Citations

This map shows the geographic impact of Riham Mansour's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Riham Mansour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riham Mansour more than expected).

Fields of papers citing papers by Riham Mansour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riham Mansour. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Riham Mansour. The network helps show where Riham Mansour may publish in the future.

Co-authorship network of co-authors of Riham Mansour

This figure shows the co-authorship network connecting the top 25 collaborators of Riham Mansour. A scholar is included among the top collaborators of Riham Mansour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Riham Mansour. Riham Mansour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Mansour, Riham, et al.. (2019). SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems. 708–717. 1 indexed citations

2.

Hemayed, Elsayed E., et al.. (2018). WikiAutoCat: Information Retrieval System for Automatic Categorization of Wikipedia Articles. Arabian Journal for Science and Engineering. 43(12). 8095–8109. 2 indexed citations

3.

Elmongui, Hicham G., et al.. (2015). Inference models for Twitter user's home location prediction. 1–8. 5 indexed citations

4.

Mansour, Riham, et al.. (2014). Augmenting Business Entities with Salient Terms from Twitter. International Conference on Computational Linguistics. 121–129. 2 indexed citations

5.

Mansour, Riham, et al.. (2013). Revisiting the Old Kitchen Sink: Do we Need Sentiment Domain Adaptation?. Recent Advances in Natural Language Processing. 420–427. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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